基于线性化因子更新的频域迭代判决反馈均衡
Frequency Domain Iterative Decision Feedback Equalization Based on Linearization Factor Update
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摘要: 迭代块判决反馈均衡(Iterative Block Decision Feedback Equalization,IBDFE)是单载波频域均衡中一种行之有效的非线性均衡算法,但算法计算复杂度随迭代次数增加而增大。本文针对传统IBDFE算法的不足提出一种基于线性因子更新的频域迭代判决反馈均衡算法,利用了线性因子更新来降低均衡器复杂度,并引入修正因子计算反馈滤波器系数以避免性能损失。仿真结果表明,所提出算法性能与传统IBDFE算法相比复杂度降低且在误比特率为10-5时有0.12 dB的性能增益,与已有的低复杂度算法(Low-Complexity IBDFE,LC-IBDFE)相比有0.1 dB的性能增益。
Abstract: Iterative Block Decision Feedback Equalization (IBDFE) is an effective nonlinear equalization algorithm in single-carrier frequency domain equalization, However the computational complexity of the algorithm increases with the number of iterations. In this paper, a frequency domain iterative decision feedback equalization algorithm based on linear factor updating is proposed for the deficiency of traditional IBDFE algorithm. The linear factor update is used to simplify the equalizer complexity, and the correction factor is introduced to calculate the feedforward and feedback filter coefficients to avoid performance loss. The simulation results show that the performance of the proposed algorithm is lower than that of the traditional IBDFE algorithm and has a performance gain of 0.12 dB when the bit error rate is 10-5. Compared with the existing Low-Complexity algorithm (LC-IBDFE), it has 0.1 dB performance gain.